Data center infrastructure management · November 2026 Edition
openDCIM vs Nlyte DCIM
Zero of fourteen models named openDCIM first on the direct prompt; one named Nlyte DCIM. openDCIM was named by thirteen of the fourteen models and Nlyte DCIM by fourteen and openDCIM carries 20 labels and Nlyte DCIM 40, so the shares are not directly comparable.
openDCIM
criticized challengerNamed in one category this edition.
Named in one category this edition.
First-choice share12%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate25%30%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#8A position in a field of 13; printed, not drawn.
Labels2040A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, openDCIM reading right to left. Rank and label count are printed, not drawn.Device42 was named alongside these two in twelve of the fourteen direct answers. Sunbird DCIM vs openDCIM · Sunbird DCIM vs Nlyte DCIM · ManageEngine OpManager vs openDCIM
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the data center infrastructure management page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
openDCIMFirst choices, of fourteen modelsNlyte DCIM
Direct011 against Nlyte DCIM
Paraphrase003 against Nlyte DCIM
Comparative01
Budget-constrained701 against Nlyte DCIM
Scale-constrained00
Negative005 against openDCIM · 7 against Nlyte DCIM
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Across every category in the November 2026 Edition, openDCIM and Nlyte DCIM were named in the same answer forty-three times, of the 92 answers naming openDCIM and the 138 naming Nlyte DCIM. In those answers Nlyte DCIM took the first choice two times and openDCIM nine.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where openDCIM and Nlyte DCIM stood in it.
| Model | DirectOP | ParaphraseOP | ComparativeOP | Budget-constrainedOP | Scale-constrainedOP | NegativeOP |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | OP | |||
| GPT-5.4 mini | | OP | ||||
| Gemini 3.5 Flash | | OP | OP | |||
| Perplexity Sonar | | | | OP | ||
| Grok 4.20 | | | OP | | | |
| Mistral Small | | OP | OP | |||
| DeepSeek V4 Flash | | OP | OP | |||
| Llama 4 Maverick | OP | |||||
| Qwen 3.7 Flash | OP | OP | ||||
| Kimi K2 | | | OP | | ||
| GLM 4.7 FlashX | | | OP | OP | ||
| MiniMax M2.5 | OP | OP | ||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B | | | OP | |
OP openDCIM Nlyte DCIMOP first choiceOP named as an alternativeOP argued againstblank: not namedEach cell is one answer, openDCIM on the left and Nlyte DCIM on the right.
Nlyte DCIMOP first choiceOP named as an alternativeOP argued againstblank: not namedEach cell is one answer, openDCIM on the left and Nlyte DCIM on the right.The direct prompt
The plain question, one answer per model, grouped by where openDCIM and Nlyte DCIM stood in it.
Nlyte DCIM first, openDCIM not the choice
1 of 14 modelsopenDCIM was named in the answer but not as the choice, or not at all.GPT-5.4 miniNlyte DCIM alternatives: Device42, OpManager Nexus, Sunbird DCIM
Neither was the first choice, one was named
1 of 14 modelsThe answer put something else first and named one of the two as an alternative.Mistral SmallDevice42, Sunbird DCIM alternatives: Nlyte DCIM, netTerrain DCIM
Neither was named
12 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5Hyperview, Sunbird DCIM
Gemini 3.5 FlashSunbird DCIM alternatives: Device42, Hyperview, NetBox, Schneider Electric EcoStruxure IT
Perplexity SonarHyperview alternatives: Device42, Schneider EcoStruxure IT Advisor, Sunbird dcTrack
Grok 4.20Device42 alternatives: Hyperview DCIM, Schneider Electric EcoStruxure IT
DeepSeek V4 FlashManageEngine OpManager, Sunbird DCIM alternatives: Device42, NetBox, Paessler PRTG
Llama 4 MaverickSunbird DCIM alternatives: Device42, EcoStruxure IT, Hyperview, NetZoom DCIM
Qwen 3.7 FlashSunbird DCIM alternatives: Device42, Hyperview, NetBox
Kimi K2Sunbird DCIM alternatives: Device42, Hyperview, NetBox
GLM 4.7 FlashXDevice42, Sunbird dcTrack alternatives: Hyperview, NetBox, Schneider Electric EcoStruxure IT
MiniMax M2.5Device42, Sunbird DCIM alternatives: ManageEngine OpManager, Schneider Electric EcoStruxure IT
GPT-6 LunaSunbird DCIM alternatives: NetBox, Schneider Electric EcoStruxure IT Advisor
Muse Glimmer 30BSunbird DCIM, dcTrack alternatives: Device42, Hyperview, ManageEngine OpManager, Schneider Electric EcoStruxure IT
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
openDCIM leads by twenty-four points.
openDCIM24%#2 of 11
Nlyte DCIM0%#11 of 11Mid-marketThe figures above
openDCIM leads by eleven points.
openDCIM12%#4 of 13
Nlyte DCIM2%#8 of 13Enterprise
The order flips: Nlyte DCIM leads at enterprise.
Nlyte DCIM38%#1 of 10openDCIM0%#9 of 10
The full enterprise standing →What the models said about openDCIM
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Has multiple critical security vulnerabilities... Requires extensive security hardening before production use” GLM 4.7 FlashX · negative prompt · hard negative
“Open-source solutions like OpenDCIM may carry higher risks for large enterprise operations due to potential security vulnerabilities, limited support, and development sustainability concerns.” MiniMax M2.5 · negative prompt · soft negative
“*Use with caution* ... Generally seen as outdated and feature-poor” DeepSeek V4 Flash · negative prompt · soft negative
“openDCIM is recommended for focused rack and asset inventory on a limited budget, and is available for free under GPLv3” Claude Haiku 4.5 · budget prompt · first choice
“the best DCIM tool is openDCIM (free, open‑source) or NetBox (also free/self‑hosted)” GLM 4.7 FlashX · budget prompt · first choice
“the best DCIM option is usually openDCIM if you can handle some DIY setup and support” GPT-5.4 mini · budget prompt · first choice
What the models said about Nlyte DCIM
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Frequently criticized as a "legacy platform" with significant security concerns” GLM 4.7 FlashX · negative prompt · hard negative
“avoid legacy platforms (like *Nlyte* or *FNT Command*)” Muse Glimmer 30B · negative prompt · hard negative
“avoid legacy platforms (like Nlyte or FNT Command)” DeepSeek V4 Flash · negative prompt · hard negative
“Best for enterprise-scale lifecycle and hybrid infrastructure: broad asset lifecycle, capacity planning, and hybrid environment coverage” Muse Glimmer 30B · comparative prompt · first choice
“the best DCIM choice is usually Nlyte if you want the strongest all-around fit” GPT-5.4 mini · direct prompt · first choice
“A comprehensive DCIM platform that's particularly strong in asset management, capacity planning, and power management.” Claude Haiku 4.5 · paraphrase prompt · alternative
Also compared
Sunbird DCIM vs openDCIMSunbird DCIM vs Nlyte DCIMManageEngine OpManager vs openDCIMManageEngine OpManager vs Nlyte DCIMNetBox vs openDCIMNetBox vs Nlyte DCIMopenDCIM vs Device42openDCIM vs HyperviewopenDCIM vs Sunbird dcTrackDevice42 vs Nlyte DCIMHyperview vs Nlyte DCIMSunbird dcTrack vs Nlyte DCIMAll twenty-eight head-to-head pages and the full DCIM standing
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.